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The parameters that model the structure of the covariance matrix are arrayed in Θv = (ρ, σ2).
The haplotype effect parameters and residual covariance matrix are arrayed by a quantitative genetic parameter vector Θq = (μ2, μ1, μ0,σ2).
The elements of the matrix are arrayed according to rules.
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Cellular microtubules can provide a matrix upon which the signaling molecules are arrayed [ 34].
In the COO format, only the nonzero elements of a sparse matrix are stored in the array ({values}).
Elements with text-only content (scalar, array, matrix) are polymorphic (e.g. can be numeric, string, date) and are not supported well by schema constraints.
A matrix is an array of numbers.
An agent's probability matrix is an array of rows and columns for acts and states, respectively, with each cell formed by the intersection of an act's row and a state's column containing the probability of the state given that the agent is about to perform the act.
The conditional mean and conditional covariance matrix are given as follows begin{array}{*{20}l} textbf{u}_{y|{hat h}_{d}, s_{m}} &= sqrt{frac{E_{c}}{N_{c}}}{hat{textbf{h}}}_{d} s_{m}, end{array} (16a).
where KF p is the Kalman filter propagation, and the backward track state prediction and its covariance matrix are expressed by begin{array}{*{20}l} bar {boldsymbol{x}}_{k|k+1+}^{tau}&=boldsymbol{F}_{b} hat {boldsymbol{x}}_{k+1|k+1+}^{tau} bar{boldsymbol{P}}_{k|k+1+}^{tau}&=boldsymbol{F}_{b}hat{boldsymbol{P}}_{k+1|k+1+}^{tau}boldsymbol{F}_{b}^{T}+boldsymbol{Q}_{b} end{array} (13).
where KF p is the Kalman filter propagation, and the forward track state prediction and its covariance matrix are given by begin{array}{*{20}l} bar{boldsymbol{x}}_{k|k-1}&=boldsymbol{F}hat{{boldsymbol{x}}}_{k-1|k-1} bar{boldsymbol{P}}_{k|k-1}&=boldsymbol{F}hat{{boldsymbol{P}}}_{k-1|k-1}boldsymbol{F}^{T}+boldsymbol{Q} end{array} (10).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com